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Author

Elke Moons

Other affiliations: Statistics Netherlands
Bio: Elke Moons is an academic researcher from University of Hasselt. The author has contributed to research in topics: Travel behavior & Mode choice. The author has an hindex of 16, co-authored 45 publications receiving 935 citations. Previous affiliations of Elke Moons include Statistics Netherlands.

Papers
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Journal ArticleDOI
TL;DR: In this article, the effect of weather conditions on daily traffic intensities (the number of cars passing a specific segment of a road) was examined in Belgium, where road usage on a particular location determines the size of the impacts of various weather conditions.
Abstract: This paper focuses on the effect of weather conditions on daily traffic intensities (the number of cars passing a specific segment of a road). The main objective is to examination whether or not weather conditions uniformly alter daily traffic intensities in Belgium, or in other words whether or not road usage on a particular location determines the size of the impacts of various weather conditions. This general examination is a contribution that allows policymakers to assess the appropriateness of countrywide versus local traffic management strategies. In addition, a secondary goal of this paper is to validate findings in international literature within a Belgian context. To achieve these goals, the paper analyzes the effects of weather conditions on both upstream (toward a specific location) and downstream (away from a specific location) traffic intensities at three traffic count locations typified by a different road usage. Perhaps the most interesting results of this study for policymakers ar...

208 citations

Journal ArticleDOI
TL;DR: In this article, a stated adaptation study was conducted in Flanders (the Dutch-speaking region of Belgium), where a survey, completed by 586 respondents, was administered both on the Internet and as a traditional paper-and-pencil questionnaire.
Abstract: Weather can influence travel demand, traffic flow, and traffic safety. A hypothesis—the type of weather determined the likelihood of a change in travel behavior, and changes in travel behavior because of weather conditions depended on trip purpose—was assayed. A stated adaptation study was conducted in Flanders (the Dutch-speaking region of Belgium). A survey, completed by 586 respondents, was administered both on the Internet and as a traditional paper-and-pencil questionnaire. To ensure optimal correspondence between the survey sample composition and the Flemish population, observations in the sample were weighted. To test the main hypotheses, Pearson chi-square independence tests were performed. Results from both the descriptive analysis and the independence tests confirm that the type of weather matters and that changes in travel behavior in response to these weather conditions are highly dependent on trip purpose. This dependence of behavioral adjustments on trip purpose provides policy makers with a...

164 citations

Journal ArticleDOI
TL;DR: The feature-selection technique Relief-F proves to facilitate and optimize the performance of the models and demonstrates that retailers and manufacturers can stay clear of each other in their marketing campaigns.
Abstract: The management of coupon promotions is an important issue for marketing managers since it still is the major promotion medium. However, the distribution of coupons does not go without problems. Although manufacturers and retailers are investing heavily in the attempt to convince as many customers as possible, overall coupon redemption rate is low. This study improves the strategy of retailers and manufacturers concerning their target selection since both parties often end up in a battle for customers. Two separate models are built: one model makes predictions concerning redemption behavior of coupons that are distributed by the retailer while another model does the same for coupons handed out by manufacturers. By means of the feature-selection technique 'Relief-F' the dimensionality of the models is reduced, since it searches for the variables that are relevant for predicting the outcome. In this way, redundant variables are not used in the model-building process. The model is evaluated on real-life data provided by a retailer in Fast Moving Consumer Goods (FMCG). The contributions of this study for retailers as well as manufacturers are three-fold. First, the possibility to classify customers concerning their coupon usage is shown. In addition, it is demonstrated that retailers and manufacturers can stay clear of each other in their marketing campaigns. Finally, the feature-selection technique Relief-F proves to facilitate and optimize the performance of the models.

112 citations

Journal ArticleDOI
TL;DR: In this paper, a Q-methodology is adopted as the technique to segment people, and to ascertain which approaches and determinants matter to medium distance travel, as policy measures will be more efficient and effective if they are fine-tuned on specific target groups.
Abstract: Due to a variety of reasons, the previous century is characterized by an extraordinary growth in car use that has continued into the current century. This has resulted in serious environmental repercussions. Despite technological advancements, the externalities remain an ecological threat that can not be discarded by policy makers. Therefore, it is essential that policy makers focus on reducing car use and on stimulating the shift towards more environment-friendly transport modes. In this study, Q-methodology is adopted as the technique to segment people, and to ascertain which approaches and determinants matter to medium distance travel. Segmentation is important, as policy measures will be more efficient and effective if they are fine-tuned on specific target groups. The analysis revealed that four discourses preponderate the paradigm of environmentally sustainable transport: travelers who use public transport as a dominant alternative, car-dependent travelers, travelers with a positive perception of using public transport, and travelers with a preference for car use. Concerning rational, economic motives, individuals evaluate travel time reliability as most important. To increase the reliability policy makers should consider the use of separate bus lanes and traffic light manipulation. In addition, public transport can be made even more attractive, when costs of cars are made more variable by road or congestion charging. When the s motives are discussed, the differences between the different groups of travelers were more pronounced. Next to increasing the benefits of using public transport, policy makers should also pay attention to removing psycho-social barriers.

85 citations

Journal ArticleDOI
Mario Cools1, Kris Brijs1, Hans Tormans1, Elke Moons1, Davy Janssens1, Geert Wets1 
TL;DR: In this article, the effect of road pricing on people's tendency to adapt their current travel behavior was examined by means of a stated adaptation experiment, using a two-stage hierarchical model, and it was found that behavioral changes themselves are not dependent on the perceived acceptability of road-pricing itself, and that only a small amount of the variability in the behavioral changes were explained by socio-cognitive factors.
Abstract: The objective of this study is to examine the effect of road pricing on people’s tendency to adapt their current travel behavior. To this end, the relationship between changes in activity-travel behavior on the one hand and public acceptability and its most important determinants on the other are investigated by means of a stated adaptation experiment. Using a two-stage hierarchical model, it was found that behavioral changes themselves are not dependent on the perceived acceptability of road pricing itself, and that only a small amount of the variability in the behavioral changes were explained by socio-cognitive factors. The lesson for policy makers is that road pricing charges must surpass a minimum threshold in order to entice changes in activity-travel behavior and that the benefits of road pricing should be clearly communicated, taking into account the needs and abilities of different types of travelers. Secondly, earlier findings concerning the acceptability of push measures were validated, supporting transferability of results. In line with other studies, effectiveness, fairness and personal norm all had a significant direct impact on perceived acceptability. Finally, the relevance of using latent factors rather than aggregate indicators was underlined.

66 citations


Cited by
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Journal ArticleDOI

6,278 citations

Book ChapterDOI
30 Dec 2011
TL;DR: This table lists the most common surnames in the United States used to be Anglicised as "United States", then changed to "United Kingdom" in the 1990s.
Abstract: OUTPU T 29 OUTPU T 30 OUTPU T 31 OUTPU T 32 OUTPU T 25 OUTPU T 26 OUTPU T 27 OUTPU T 28 OUTPU T 21 OUTPU T 22 OUTPU T 23 OUTPU T 24 OUTPU T 17 OUTPU T 18 OUTPU T 19 OUTPU T 20 OUTPU T 13 OUTPU T 14 OUTPU T 15 OUTPU T 16 OUTPU T 9 OUTPU T 10 OUTPU T 11 OUTPU T 12 OUTPU T 5 OUTPU T 6 OUTPU T 7 OUTPU T 8 OUTPU T 1 OUTPU T 2 OUTPU T 3 OUTPU T 4 29 30 31 32 25 26 27 28 21 22 23 24 17 18 19 20 13 14 15 16 9

1,662 citations

Journal ArticleDOI
TL;DR: Findings of this paper indicate that the research area of customer retention received most research attention and classification and association models are the two commonly used models for data mining in CRM.
Abstract: Despite the importance of data mining techniques to customer relationship management (CRM), there is a lack of a comprehensive literature review and a classification scheme for it. This is the first identifiable academic literature review of the application of data mining techniques to CRM. It provides an academic database of literature between the period of 2000-2006 covering 24 journals and proposes a classification scheme to classify the articles. Nine hundred articles were identified and reviewed for their direct relevance to applying data mining techniques to CRM. Eighty-seven articles were subsequently selected, reviewed and classified. Each of the 87 selected papers was categorized on four CRM dimensions (Customer Identification, Customer Attraction, Customer Retention and Customer Development) and seven data mining functions (Association, Classification, Clustering, Forecasting, Regression, Sequence Discovery and Visualization). Papers were further classified into nine sub-categories of CRM elements under different data mining techniques based on the major focus of each paper. The review and classification process was independently verified. Findings of this paper indicate that the research area of customer retention received most research attention. Of these, most are related to one-to-one marketing and loyalty programs respectively. On the other hand, classification and association models are the two commonly used models for data mining in CRM. Our analysis provides a roadmap to guide future research and facilitate knowledge accumulation and creation concerning the application of data mining techniques in CRM.

1,135 citations

Journal ArticleDOI
TL;DR: In this article, the authors examined the effects of two forms of capital, i.e., human capital and social capital, on innovation at the country level, using secondary data from the World Development Report on a country's overall human development.
Abstract: The authors examine the effects of two forms of capital, i.e. human capital and social capital, on innovation at the country level. We use secondary data from the World Development Report on a country's overall human development to test for a relationship between human capital and innovation. We also use previous conceptualizations of social capital as comprising trust, associational activity, and norms of civic behaviour to test for relationships between these indicators of social capital and innovation using data from the World Values Survey. Unlike most previous studies that examined human and social capital within a given country, we develop and empirically test a theoretically grounded model that relates human and social capital to innovation at the societal level across 59 different countries, thus providing a more global view of the role of these two forms of capital in generating value. We find strong support for the positive relationship between human capital and innovation and partial support fo...

834 citations

Journal ArticleDOI
TL;DR: In this paper, the authors explored the different incubation strategies for spinning-out companies employed by European Research Institutions and identified resource and competence differences relating to finance, organization, human resources, technology, network, and infrastructure.

781 citations